Risto Hinno on hea näide sellest, kuidas karjäär võib võtta põneva pöörde. Varasemalt digiteenuste tellijana töötanud Risto otsustas süvendada oma teadmisi IT-valdkonnas ning asus õppima Tartu Ülikooli arvutiteaduse instituudi magistriõppekaval „IT mitteinformaatikutele“ . Õpingute käigus avanes talle arenduse ja andmeteaduse maailm sedavõrd kaasahaaravalt, et see viis ta lõpuks ka idufirmasse tööle. Oma kogemusloos jagab ta ausalt teekonda […]

Toomas Gross on suure ja mitmekülgse akadeemilise kogemusega antropoloog, kes on töötanud aastaid õppejõu ja teadlasena. Oma töös jõudis ta arusaamani, et nüüdisaegne teadus ja õppetöö eeldavad üha enam ka tehnoloogilist ning andmeteaduslikku kirjaoskust. Soov end proovile panna ja intellektuaalsest mugavustsoonist väljuda viis ta Tartu Ülikooli arvutiteaduse instituudi magistriõppekava „IT mitteinformaatikutele“ alusel õppima. Kogemusloos kirjeldab […]

Kaspar Kala läbis Tartu Ülikooli arvutiteaduse instituudi magistriõppekava „IT mitteinformaatikutele“. Varem on ta õppinud õigusteadust nii Eestis kui ka Hollandis ning praegu töötab projektijuhi, analüütiku ja majasisese juristina. Kaspar on justkui sild kahe valdkonna, IT ja õiguse vahel. Loe Kaspari kogemuslugu informaatika õppimisest. Enne informaatikaõppesse kandideerimist määratlesin end eelkõige juristina. Lõpetanud õigusteaduse bakalaureuseõpingud Tartu Ülikoolis ja […]

Mohamed Abdelrahman shares his journey as a PhD student in the Data Systems Group at the University of Tartu, where he focuses on Automated Machine Learning (AutoML) and aims to make AI more trustworthy and accessible. His story was introduced by Professor Jaak Vilo, Head of the Institute of Computer Science. Describe your thoughts when […]

You can find out more about Kristiina Rahkema’s PhD thesis in English here.  Nutitelefonidest on saanud meie elu lahutamatu osa. Iga asja jaoks on olemas äpp: sõnumite saatmiseks, internetipanga külastuseks, auto lukust avamiseks. Kahjuks on paljud neist rakendustest ebaturvalised. Turvavigu on avastatud sellistes rakendustes nagu Facebook, TikTok ja WhatsApp. Nende turvavigade raskusaste võib ulatuda andmelekkest […]

Introduction: Privacy-preserving computation is a crucial discipline that protects the privacy of confidential data while facilitating secure analysis. In graph problems, secure multiparty computation (SMC) presents a promising approach to performing these functionalities. This article delves into the notable advancements in privacy-preserving parallel algorithms recently introduced in a Ph.D. thesis. By integrating graph algorithms with […]

Jaak Vilo, Kallol Roy Algorithmics (MTAT.03.238) is an obligatory course in the Computer Science MSc curriculum. As such it is intended to remind everyone of the foundations of algorithms and data structures but also to go beyond and teach some more advanced concepts (like succinct data structures, for example).  The course aims at linking different […]

We are living in a world in which data is not just getting bigger; it is also getting more and more interconnected. Large graph analytics is a useful tool for gaining insights from large volumes of interconnected data and has applications in various fields such as social media, biology, and telecommunications. An example of the […]

We are currently in the process of significant changes in the communications paradigms. Among others, one of the changes is moving to cloud-based services instead of using local applications (Office365, Youtube, Spotify, etc.). We can argue about the motivation of this trend, but this allows us to provide the customers with the most up-to-date solutions […]

The article was translated and published in English by the University of Tartu. It was initially published in Estonian in Eesti Ekspress by Greete Lehepuu. The cover of the September issue of Communications of ACM, the most prestigious journal in computer science, featured an article led by University of Tartu researchers. The article proposes steps to tackle one of […]

On December 21, Madis Vasser defended his PhD thesis „Testing a Computational Theory of Brain Functioning with Virtual Reality“. In his thesis, he investigated the concept of active inference (AI) using virtual reality (VR) devices. During the work they developed VR software, conducted experiments on human study participants and compiled a set of guidelines for […]

On the 6th of June 2019, the paper “D2IA: Stream Analytics on User-Defined Event Intervals” won the best paper award in the 31st International Conference on Advanced Information Systems Engineering (CAiSE’19), which was written by Ahmed Awad, Riccardo Tommasini, Mahmoud Kamel, Emanuele Della Valle and Sherif Sakr. CAiSE is one of the oldest and top […]